A Review of Machine Learning Techniques over Big Data Case Studies
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 3
Abstract
In the recent years, Data has increased exponentially and is termed as Big Data. Data Amount, Data Speed and Data Variation are three major parameters of Big Data. There are many challenges which have tuned up out of which Data Storage, Data Analysis and Data Management are the biggest ones. In order to deal with these challenges, Machine Learning, a subset of Artificial Intelligence provides various tools and techniques. This paper gives a detail about Big Data and Machine Learning. It also includes detailed literature review on various Big Data case studies which are solved by Machine Learning Techniques.
Authors and Affiliations
Dr. Yojna Arora
Keywords
Related Articles
- EP ID EP747829
- DOI 10.21276/ijircst.2020.8.3.34
- Views 25
- Downloads 0
Design of MEMS Sensor for Brain Wave Detection
The human brain regulates bodily activities such as the heart, movement, speech, thinking, and emotion perception. Brain waves are electrical impulses generated by neuron communication. MEMS sensors can be used to monito...
Effective Pattern Discovery for Text Mining Using Pattern Taxonomy Model
We describe an effective and innovative pattern discovery technique. In order to overcome the problem of misinterpretation and low frequency pattern taxonomy model is used. It makes use of closed sequential patterns and...
An Analysis of Soil Stability Techniques
Soil Steadiness is procedure of augmenting bearing capacity of soil by improving shear asset characteristics of soil. When soil available for building is unsuitable for carrying structural loads, it is needed. Soils...
Applying the Data Center Infrastructure Management (DCIM) Tool to Enhance the Quality Management of the Data Centers by Decreasing the Unplanned Outage Reasons
All previous reports and practical life have proven that the human errors and devices failure are responsible for the unplanned outage of the data centers at a rate of up to 88%. And for this reason, it was important to...
A Review on Smart Helmetvvv
Over speeding, intoxicated driving, and reckless driving are the leading causes of mortality among two-wheeler drivers. If emergency medical services had received accident information and been on the site in time, many l...